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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM65433
Volume:
10 |
6 |
Jun 2026
Pages:
1-4
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Computer Engineering
RMD SINHGAD SCHOOL OF ENGINEERING
Computer Engineering
RMD SINHGAD SCHOOL OF ENGINEERING
Computer Engineering
RMD SINHGAD SCHOOL OF ENGINEERING
Computer Engineering
RMD SINHGAD SCHOOL OF ENGINEERING
This review represent the significance of bio-metric authentication using face, palm, and voice which has become increasingly important as digital systems need reliable and robust security. Each and every method has its own ben-efits, face recognition allows fast and contactless verification, palm authentication uses unique patterns on the epidermis of palm to authenticate the user and voice recognition uses voice frequency and amplitude to authenticate. Using Deep learning and Machine Learning made these methods more accurate and robust by improving recognition of features and deal with external environmental factors like light, noise, etc.
KEYWORDS
The review of biometric authentication shows how traditional methods was consistently converted into more advanced deep-learning techniques that improved accu-racy, security, speed, robustness and reliability. Face, palm, and Voice biometrics are overall improved by feature extraction and more efficient processing steps makes authentication effective in real-world scenarios. Even with problems like environmental changes, noise, and fake attempts this ongoing research improves biomet-ric authentication systems with better and efficient algo-rithms, improved sensing methods, and stronger security. Overall, biometric authentication is a strong and growing security method.
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Publication Date
6/24/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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